Open Data Commons Attribution License (ODC-By)

This OSF Project contains the summary statistics and correlations for the variables included in the study. The raw data is not shared. The link includes information from bilingual Xhosa-English and Zulu-English children from South Africa assessed in first grade, and twice in third grade. COVID-19 related school closures affected children in second grade and third grade. The variables include: phonological awareness, rapid automatized naming, phonological working memory, letter reading, word reading, text reading, reading comprehension and spelling.

This file contains data associated with "Building Word-Problem Solving and Working Memory Capacity: A Randomized Controlled Trial Comparing Three Intervention Approaches", a publication in the Journal of Education Psychology (2022), 2022, Vol. 114, No. 7, 1633–1653. Specifically this includes data on: nesting variables, general participant information, pre, post, delayed post on working memory (WM), word-problem solving (WPS), and arithmetic.
See also "Follow-Along Classmates Working Memory, Math, Demographics at Pre Post" dataset for associated typically developing students.

This file contains data associated with "Building Word-Problem Solving and Working Memory Capacity: A Randomized Controlled Trial Comparing Three Intervention Approaches", a publication in the Journal of Education Psychology (2022), 2022, Vol. 114, No. 7, 1633–1653. Specifically this includes data on: nesting variables, general participant information, pre, post, delayed post on working memory (WM), word-problem solving (WPS), and arithmetic.

This file contains data according to two research designs: small scale RCT and a Repeated Acquisition Design (single case research). The vocabulary at the pre- and post- collections were untaught words whereas the weekly probes for the RAD were the taught words of that week.

This dataset contains the school-level data related to the study "Methodological Decisions and their impacts on the perceived relations between school funding and educational achievement". The data contained within was pulled from data from the Florida Progress Monitoring and Reporting Network (PMRN; https://www.fldoe.org/core/fileparse.php/7544/urlt/PMRNv51PSLUG.pdf) as well as school-level per pupil expenditure data from the Florida Department of Education (https://web08.fldoe.org/TransparencyReports/CostReportSelectionPage.aspx).

This is the pre and post test TOSLS data for the undergraduate students in this project.

This contains institutional data gathered from some of the participating institutions including GPA, retention, and graduation data.

This includes the variables from the STEM Career Interest Scale.

This is the student data from the LCAS taken at the end of the semester.

The faculty reported the CURE elements that were incorporated into their course after the semester was finished.